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                advise architectural studies for future fuel cell powered LH2 aircraft. While working on this exciting research project, you will be provided with: A fully funded 3 year full-time PhD - £20780 tax-free 
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                aligned subjects The Project start dates: October 2025 – Home students only January 2026 – Home and International students Supervisors: Aligned programme of study: PhD in Chemical Engineering Mode of study 
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                . The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves 
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                -periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD 
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                foresight into systems without modifying their underlying architecture. We’re bridging the gap between raw language ability and deep strategic reasoning. Just as AlphaGo changed our understanding of what 
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                This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full 
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                criteria at Aalto Doctoral Programme in Science | Aalto University . What we offer We offer a fully funded PhD project for one talented Doctoral Researcher under the guidance of Dr. Ziying Wang in the Atomic 
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                collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We 
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                effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid 
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                This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems